WO2019109874A1 - 一种流体颗粒物浓度检测方法 - Google Patents
一种流体颗粒物浓度检测方法 Download PDFInfo
- Publication number
- WO2019109874A1 WO2019109874A1 PCT/CN2018/118699 CN2018118699W WO2019109874A1 WO 2019109874 A1 WO2019109874 A1 WO 2019109874A1 CN 2018118699 W CN2018118699 W CN 2018118699W WO 2019109874 A1 WO2019109874 A1 WO 2019109874A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- fluid
- signal
- concentration
- particles
- particle
- Prior art date
Links
- 239000012530 fluid Substances 0.000 title claims abstract description 47
- 239000013618 particulate matter Substances 0.000 title claims abstract description 28
- 238000001514 detection method Methods 0.000 title abstract description 41
- 238000000034 method Methods 0.000 claims abstract description 30
- 238000005070 sampling Methods 0.000 claims abstract description 5
- 239000002245 particle Substances 0.000 claims description 86
- 230000035945 sensitivity Effects 0.000 description 8
- 238000005259 measurement Methods 0.000 description 7
- 239000003921 oil Substances 0.000 description 5
- 238000003745 diagnosis Methods 0.000 description 3
- 238000009825 accumulation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 239000010687 lubricating oil Substances 0.000 description 1
- 238000005461 lubrication Methods 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Optical investigation techniques, e.g. flow cytometry
- G01N15/1456—Optical investigation techniques, e.g. flow cytometry without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals
- G01N15/1459—Optical investigation techniques, e.g. flow cytometry without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals the analysis being performed on a sample stream
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/26—Oils; Viscous liquids; Paints; Inks
- G01N33/28—Oils, i.e. hydrocarbon liquids
- G01N33/2835—Specific substances contained in the oils or fuels
- G01N33/2858—Metal particles
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
- G01N15/075—Investigating concentration of particle suspensions by optical means
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N2015/0042—Investigating dispersion of solids
- G01N2015/0053—Investigating dispersion of solids in liquids, e.g. trouble
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N2015/1021—Measuring mass of individual particles
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Optical investigation techniques, e.g. flow cytometry
- G01N2015/1486—Counting the particles
Definitions
- the present invention relates to the field of testing equipment, and in particular, to a method for detecting a concentration of a fluid particle.
- the particulate matter detection device such as the fluid particle concentration detection device
- the fluid particle concentration detection device is usually installed in the oil pipeline to monitor the quality of the oil in real time and provide effective diagnosis for fault diagnosis of engines, bearings and gears. Based on the basis, and can quickly and accurately determine the wear status of the equipment and the cause of the failure.
- the technical problem solved by the present invention is to provide a detection method for more accurately measuring the concentration of particles in a fluid.
- the present inventors made several improvements to the fluid density detection method for particulate matter detection apparatus includes obtaining an output value U scattered background noise the noise floor, And in the subsequent detection and calculation process, the impact of the noise floor value is eliminated, and the accuracy of the particle concentration detection calculation in the fluid is improved.
- certain period of time may refer to any period of time, and may be selected according to actual conditions.
- the standard particulate matter is selected from particles having a particle diameter of 10 ⁇ m, and the corresponding voltage signal is U 10 ⁇ m .
- preferentially selecting particles having a diameter of 10 ⁇ m as standard particles can improve the detection accuracy on the one hand and improve the detection sensitivity on the other hand. If the particles are too large, the detection accuracy of the subsequent calculated concentration will be lowered, and if the particles are too small, the sensitivity of the device detection will be lowered, resulting in the inability to detect the particulate matter. Therefore, the inventors can effectively balance the detection accuracy and the detection sensitivity by using particles having a diameter of 10 ⁇ m as standard particles, so that the detection process is more accurate.
- the method for extracting the effective signal is to compare the collected signal with the scatter noise value, and select a signal larger than the scatter noise value as the effective signal.
- the effective signal needs to be selected as the basis for subsequent calculation, otherwise the accuracy of the detection calculation result is affected.
- the inventor has chosen a simple and effective way to select an effective signal, which is to compare the collected signal with the previously collected scattering noise value, and use a signal larger than the scattering noise value as an effective signal to make the collected signal. More practical, making subsequent measurements more accurate.
- the step of obtaining the number of particles by threshold analysis in the S3 comprises:
- the collected signal U x is compared with the bottom noise value U noise . If the U x -U noise floor is > 0, the count is incremented by 1. If the U x -U noise floor is ⁇ 0, the count is zero.
- the inventor selects the counting method preferably by comparing the signal value with the noise floor value, instead of counting the numbers read by the signal value, so that the error caused by the bottom noise value can be eliminated, that is, only The signal when the U x -U noise floor > 0 is counted as a particulate matter, so that the detection result is more accurate, and the detection precision of the particle concentration is improved.
- the step of obtaining the concentration of the particles in the S4 comprises:
- V x volume of unknown particles
- K sensor correction factor
- V 10um standard particle volume
- U x particle volume output voltage amplitude of unknown volume
- U 10um standard particle output voltage amplitude
- the particle concentration c can be obtained by the following formula:
- the sensor correction coefficient K refers to a situation in which the bottom noise calibration offset is inevitable during the calibration of the sensor, and the measurement error occurs, and a fine adjustment coefficient K is introduced here. Small fine-tuning; it is also possible that when selecting standard particles, the particles are not completely standard, resulting in some subtle volume calculation errors, which can be corrected together with the introduction of the correction factor.
- the consideration of removing the influence of the noise floor value is also included, so that the detection result is more accurate.
- the calculation formula of the above-mentioned particulate matter includes the factor of subtracting U noise from U x and the noise of U 10um minus U noise , which can make the calculated particle volume closer to the actual value and improve the calculation of the particle concentration in the fluid. Accuracy.
- the fluid particle concentration detecting method of the present invention includes the consideration of removing the influence of the noise floor value in the particle concentration calculating step, so that the calculated particle volume is closer to the actual value, and the calculation accuracy of the particle concentration in the fluid is improved. ;
- the method for detecting the concentration of a fluid particle according to the present invention compares the collected signal with the previously collected scatter noise value, and uses a signal larger than the scatter noise value as an effective signal, so that the collected signal is more practical. Make subsequent measurements more accurate.
- the method for detecting the concentration of a fluid particle according to the present invention wherein the method of selecting the count by the inventor preferably compares the signal value with the noise floor value, instead of counting the numbers read by the signal value, so that the detection result is more accurate. Improve the detection accuracy of the concentration of particulate matter;
- a method for detecting a concentration of a fluid particle according to the present invention comprising the steps of:
- the standard particulate matter is selected from particles having a particle diameter of 10 ⁇ m, and the corresponding voltage signal is U 10 ⁇ m .
- the inventors can effectively balance the detection accuracy and the detection sensitivity by using particles having a diameter of 10 ⁇ m as standard particles, on the one hand, the detection accuracy can be improved, and on the other hand, the detection sensitivity can be improved.
- the method for extracting the effective signal is to compare the collected signal with the scattered noise floor value, and select a signal larger than the scattering noise value as the effective signal.
- the collected signal is compared with the previously collected scattering bottom noise value, and the signal larger than the scattering bottom noise value is used as an effective signal, so that the collected signal is more practical, and the subsequent measurement result is more accurate.
- the step of obtaining the number of particles by threshold analysis in the S3 includes:
- the collected signal U x is compared with the bottom noise value U noise . If the U x -U noise floor is > 0, the count is incremented by 1. If the U x -U noise floor is ⁇ 0, the count is zero.
- the inventor selects the counting method preferably by comparing the signal value with the noise floor value, instead of counting the numbers read by the signal value, so that the error caused by the bottom noise value can be eliminated, that is, only The signal when the U x -U noise floor > 0 is counted as a particulate matter, so that the detection result is more accurate, and the detection precision of the particle concentration is improved.
- the step of obtaining the concentration of the particulate matter in the S4 comprises:
- V x volume of unknown particles
- K sensor correction factor
- V 10um standard particle volume
- U x particle volume output voltage amplitude of unknown volume
- U 10um standard particle output voltage amplitude
- the particle concentration c can be obtained by the following formula:
- the consideration of removing the influence of the noise floor value is also included, so that the detection result is more accurate.
- the calculation formula of the above-mentioned particulate matter includes the factor of subtracting U noise from U x and the noise of U 10um minus U noise , which can make the calculated particle volume closer to the actual value and improve the calculation of the particle concentration in the fluid. Accuracy.
- the particles are defaulted to the particles commonly found in fluids, and the relative density is brought into, and the mass of the individual particles can be converted.
- the total mass of the particles in the current time period can be obtained by accumulating the mass of the particles for a period of time based on the calculation of a single particle:
Landscapes
- Chemical & Material Sciences (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Pathology (AREA)
- Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Dispersion Chemistry (AREA)
- Engineering & Computer Science (AREA)
- Chemical Kinetics & Catalysis (AREA)
- General Chemical & Material Sciences (AREA)
- Oil, Petroleum & Natural Gas (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Investigating Or Analyzing Materials By The Use Of Electric Means (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Sampling And Sample Adjustment (AREA)
- Other Investigation Or Analysis Of Materials By Electrical Means (AREA)
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP18886452.4A EP3722783A4 (de) | 2017-12-05 | 2018-11-30 | Verfahren zur detektion der konzentration von partikeln in einer flüssigkeit |
US16/487,941 US11092534B2 (en) | 2017-12-05 | 2018-11-30 | Method for detecting concentration of particles in fluid |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711269390.2 | 2017-12-05 | ||
CN201711269390.2A CN108169086A (zh) | 2017-12-05 | 2017-12-05 | 一种流体颗粒物浓度检测方法 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2019109874A1 true WO2019109874A1 (zh) | 2019-06-13 |
Family
ID=62524392
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/CN2018/118699 WO2019109874A1 (zh) | 2017-12-05 | 2018-11-30 | 一种流体颗粒物浓度检测方法 |
Country Status (4)
Country | Link |
---|---|
US (1) | US11092534B2 (de) |
EP (1) | EP3722783A4 (de) |
CN (1) | CN108169086A (de) |
WO (1) | WO2019109874A1 (de) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113433306A (zh) * | 2021-07-20 | 2021-09-24 | 重庆交通大学 | 一种松铺沥青路面施工评估分析方法 |
CN115046896A (zh) * | 2022-06-22 | 2022-09-13 | 中铁工程装备集团有限公司 | 盾构机用油液金属磨粒在线监测系统及方法 |
Families Citing this family (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107907455B (zh) * | 2017-12-05 | 2021-07-20 | 西人马联合测控(泉州)科技有限公司 | 一种磁感应颗粒检测装置及浓度检测方法 |
CN108169086A (zh) * | 2017-12-05 | 2018-06-15 | 西人马(厦门)科技有限公司 | 一种流体颗粒物浓度检测方法 |
CN108051348A (zh) * | 2017-12-05 | 2018-05-18 | 西人马(厦门)科技有限公司 | 一种流体非金属颗粒浓度的检测系统及方法 |
CN111024569B (zh) * | 2019-10-18 | 2022-07-01 | 重庆邮电大学 | 一种磨粒检测传感器的标定方法及其存储介质 |
CN114527043B (zh) * | 2022-01-11 | 2024-02-20 | 成都派斯光科技有限公司 | 一种微粒浓度测量方法 |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1682105A (zh) * | 2002-07-17 | 2005-10-12 | 微粒筛分系统公司 | 对颗粒进行光学计数、测量尺寸的高灵敏传感器及方法 |
CN101655457A (zh) * | 2009-09-22 | 2010-02-24 | 孟国营 | 一种重载齿轮油污染度的检测方法及传感器 |
CN101762447A (zh) * | 2008-12-25 | 2010-06-30 | 邓可 | 油液污染度检测电路 |
WO2014005673A1 (de) * | 2012-07-03 | 2014-01-09 | Hydac Filter Systems Gmbh | Verfahren zum detektieren von partikeln in einem fluidstrom |
CN105842142A (zh) * | 2016-05-18 | 2016-08-10 | 深圳市青核桃科技有限公司 | 一种使用单一标准颗粒对激光颗粒计数器进行校准的方法 |
CN108169086A (zh) * | 2017-12-05 | 2018-06-15 | 西人马(厦门)科技有限公司 | 一种流体颗粒物浓度检测方法 |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9297737B2 (en) * | 2004-03-06 | 2016-03-29 | Michael Trainer | Methods and apparatus for determining characteristics of particles |
WO2009073652A1 (en) * | 2007-12-04 | 2009-06-11 | Particle Measuring Systems, Inc. | Two-dimensional optical imaging methods and systems for particle detection |
CN103163050B (zh) * | 2012-12-26 | 2015-04-22 | 大连理工大学 | 一种基于电磁感应信号的润滑油系统金属磨粒检测方法 |
CN103792166B (zh) * | 2014-01-22 | 2016-06-01 | 西安航天化学动力厂 | 一种测量球形高氯酸铵粒度的方法 |
WO2017054098A1 (en) * | 2015-09-30 | 2017-04-06 | Sensirion Ag | Optical particle counter |
-
2017
- 2017-12-05 CN CN201711269390.2A patent/CN108169086A/zh active Pending
-
2018
- 2018-11-30 WO PCT/CN2018/118699 patent/WO2019109874A1/zh unknown
- 2018-11-30 EP EP18886452.4A patent/EP3722783A4/de not_active Withdrawn
- 2018-11-30 US US16/487,941 patent/US11092534B2/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1682105A (zh) * | 2002-07-17 | 2005-10-12 | 微粒筛分系统公司 | 对颗粒进行光学计数、测量尺寸的高灵敏传感器及方法 |
CN101762447A (zh) * | 2008-12-25 | 2010-06-30 | 邓可 | 油液污染度检测电路 |
CN101655457A (zh) * | 2009-09-22 | 2010-02-24 | 孟国营 | 一种重载齿轮油污染度的检测方法及传感器 |
WO2014005673A1 (de) * | 2012-07-03 | 2014-01-09 | Hydac Filter Systems Gmbh | Verfahren zum detektieren von partikeln in einem fluidstrom |
CN105842142A (zh) * | 2016-05-18 | 2016-08-10 | 深圳市青核桃科技有限公司 | 一种使用单一标准颗粒对激光颗粒计数器进行校准的方法 |
CN108169086A (zh) * | 2017-12-05 | 2018-06-15 | 西人马(厦门)科技有限公司 | 一种流体颗粒物浓度检测方法 |
Non-Patent Citations (1)
Title |
---|
See also references of EP3722783A4 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113433306A (zh) * | 2021-07-20 | 2021-09-24 | 重庆交通大学 | 一种松铺沥青路面施工评估分析方法 |
CN113433306B (zh) * | 2021-07-20 | 2022-01-28 | 重庆交通大学 | 一种松铺沥青路面施工评估分析方法 |
CN115046896A (zh) * | 2022-06-22 | 2022-09-13 | 中铁工程装备集团有限公司 | 盾构机用油液金属磨粒在线监测系统及方法 |
Also Published As
Publication number | Publication date |
---|---|
US11092534B2 (en) | 2021-08-17 |
US20200340902A1 (en) | 2020-10-29 |
CN108169086A (zh) | 2018-06-15 |
EP3722783A1 (de) | 2020-10-14 |
EP3722783A4 (de) | 2021-01-20 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2019109874A1 (zh) | 一种流体颗粒物浓度检测方法 | |
CN104514987B (zh) | 管道三维漏磁成像缺陷量化方法 | |
RU2470280C2 (ru) | Способ обнаружения и автоматической идентификации повреждения подшипников качения | |
WO2023217178A1 (zh) | 一种滚压工件表面质量预测方法 | |
CN106368675B (zh) | 一种油气井出砂监测仪及出砂监测资料处理方法 | |
KR101920922B1 (ko) | 공압식 제어 밸브의 진단 장치 및 방법 | |
TWI482919B (zh) | Method of Ball Screw Pre - pressure Detection | |
WO2019109871A1 (zh) | 一种流体透明度检测装置和检测方法 | |
Wang et al. | Condition monitoring on grease lubrication of rolling bearing using AE technology | |
CN208254719U (zh) | 凝汽器检漏装置 | |
CN111579647B (zh) | 基于层次分析法的混凝土构件腐蚀程度检测方法及系统 | |
CN204008031U (zh) | 一种阀门泄漏故障在线诊断系统 | |
CN112083059A (zh) | 一种滤除钢轨顶面提离干扰的方法 | |
JP7503206B2 (ja) | バルブを有するパイプラインの密閉性を監視し、漏れを検出する方法 | |
JP2017198576A (ja) | 地下タンクの漏洩検査装置及び検査方法 | |
Cobb et al. | Ultrasonic structural health monitoring: a probability of detection case study | |
WO2024183098A1 (zh) | 一种两相流中光程差法粒度级配与固含量分析计算方法 | |
RU2775659C1 (ru) | Способ оценки глубины трещин на поверхности труб | |
CN113916976B (zh) | 一种管道磁异常综合指数f值快速计算方法及实验装置 | |
KR102568086B1 (ko) | 음향방출신호 및 진동가속도의 측정에 의한 유체수송관의 누수 탐지 장치 및 방법 | |
RU2660403C1 (ru) | Способ беспороговой автоматической интеллектуальной регистрации сигналов акустической эмиссии устройством неразрушающего контроля | |
CN109632944A (zh) | 一种基于组合特征的多层管柱结构脉冲涡流无损检测方法 | |
Vahlsing et al. | FE-simulation of eddy current signals produced from basic model cracks for running surface rail defects | |
CN112735615B (zh) | 在线啜漏试验设备的检查装置及检查方法 | |
CN112833817B (zh) | 一种油套管实物断面形貌的检测方法及检测装置 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 18886452 Country of ref document: EP Kind code of ref document: A1 |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
ENP | Entry into the national phase |
Ref document number: 2018886452 Country of ref document: EP Effective date: 20200706 |